2 citations · 2 across the 2 of their papers we have counts for
4 papers
SLGP: An R Package for Spatial Conditional Density Estimation
Athénaïs Gautier
The SLGP package provides nonparametric estimation of fields of probability densities indexed by covariates, from unevenly sized samples with few or no replicates. A Spatial Logist…
On the Usage of Gaussian Process for Efficient Data Valuation
Clément Bénesse, Patrick Mesana, Athénaïs Gautier +1
In machine learning, knowing the impact of a given datum on model training is a fundamental task referred to as Data Valuation. Building on previous works from the literature, we h…
Continuous logistic Gaussian random measure fields for spatial distributional modelling
Athénaïs Gautier, David Ginsbourger
We study Spatial Logistic Gaussian Process (SLGP) models for non-parametric estimation of probability density fields using scattered samples of heterogeneous sizes. SLGPs are exami…
Goal-oriented adaptive sampling under random field modelling of response probability distributions
Athénaïs Gautier, David Ginsbourger, Guillaume Pirot
In the study of natural and artificial complex systems, responses that are not completely determined by the considered decision variables are commonly modelled probabilistically, r…